Algorithm for License Plate Localization and Recognition for Tanzania Car Plate Numbers
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Date
2013-05
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International Journal of Science and Research
Abstract
In this paper, License plate localization and recognition (LPLR) is presented. It uses image processing and character
recognition technology in order to identify the license number plates of the vehicles automatically. This system is considerable interest
because of its good application in traffic monitoring systems, surveillance devices and all kind of intelligent transport system. The
objective of this work is to design algorithm for License Plate Localization and Recognition (LPLR) of Tanzanian License Plates. The
plate numbers used are standard ones with black and yellow or black and white colors. Also, the letters and numbers are placed in the
same row (identical vertical levels), resulting in frequent changes in the horizontal intensity. Due to that, the horizontal changes of the
intensity have been easily detected, since the rows that contain the number plates are expected to exhibit many sharp variations. Hence,
the edge finding method is exploited to find the location of the plate. To increase readability of the plate number, part of the image was
enhanced, noise removal and smoothing median filter is used due to easy development. The algorithm described in this paper is
implemented using MATLAB 7.11.0(R2010b).
Description
Keywords
Image processing, License plate localization and recognition, Plate numbers, MATLAB
Citation
Bulugu, I., 2013. Algorithm for license plate localization and recognition for tanzania car plate numbers. International Journal of Science and Research (IJSR), 2(5), pp.12-16.